Multiple Choice
TABLE 17-1
A real estate builder wishes to determine how house size (House) is influenced by family income (Income) ,family size (Size) ,and education of the head of household (School) .House size is measured in hundreds of square feet,income is measured in thousands of dollars,and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below:
-Referring to Table 17-1,at the 0.01 level of significance,what conclusion should the builder draw regarding the inclusion of School in the regression model?
A) School is significant in explaining house size and should be included in the model because its p-value is less than 0.01.
B) School is significant in explaining house size and should be included in the model because its p-value is more than 0.01.
C) School is not significant in explaining house size and should not be included in the model because its p-value is less than 0.01.
D) School is not significant in explaining house size and should not be included in the model because its p-value is more than 0.01.
Correct Answer:

Verified
Correct Answer:
Verified
Q75: A political pollster randomly selects a sample
Q183: TABLE 17-11<br>A logistic regression model was estimated
Q185: TABLE 17-10<br>Given below are results from the
Q186: TABLE 17-10<br>Given below are results from the
Q187: TABLE 17-12<br>The marketing manager for a nationally
Q189: TABLE 17-10<br>Given below are results from the
Q190: TABLE 17-9<br>What are the factors that determine
Q191: TABLE 17-5<br>You worked as an intern at
Q192: TABLE 17-8<br>The superintendent of a school district
Q193: TABLE 17-9<br>What are the factors that determine